World's Best Scientists 2026 revealed!

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Engineering and Technology

D-Index
40
Citations
7111
World Ranking
7266
National Ranking
453

Research.com Recognitions

  • 2016 - IEEE Fellow For leadership in imaging for healthcare applications

Overview

Ian J Craddock is affiliated with the University of Bristol in the United Kingdom. They have contributed extensively to research intersecting computer science and medicine, with a particular focus on technology applications in healthcare.

Their main fields of study include Computer Science and Medicine, with subfields emphasizing Computer Vision and Pattern Recognition, Neurology, Electrical and Electronic Engineering, Psychiatry and Mental Health, and Biomedical Engineering.

Ian J Craddock's research spans a range of topics including:

  • Context-Aware Activity Recognition Systems
  • Parkinson's Disease Mechanisms and Treatments
  • Indoor and Outdoor Localization Technologies
  • Dementia and Cognitive Impairment Research
  • Balance, Gait, and Falls Prevention
  • IoT and Edge/Fog Computing
  • Mobile Health and mHealth Applications

Their recent papers demonstrate a focus on human activity recognition, health monitoring, and Parkinson's disease. Notable publications include:

  • "Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson's Disease in the Home or a Home-like Environment," 2020, Journal of Parkinson's Disease
  • "OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors," 2022, Scientific Data
  • "TSCH Networks for Health IoT," 2020, ACM Transactions on Internet of Things
  • "An active semi-supervised deep learning model for human activity recognition," 2022, Journal of Ambient Intelligence and Humanized Computing
  • "An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson's Disease," 2021, Sensors

Ian J Craddock frequently publishes in venues such as arXiv (Cornell University), JMIR Formative Research, Scientific Data, Sensors, and JMIR Human Factors.

They have collaborated frequently with several scholars, including Ryan McConville, Raúl Santos-Rodríguez, Emma L. Tonkin, Alan Whone, and Catherine Morgan.

In recognition of their contributions, Ian J Craddock was named an IEEE Fellow in 2016 for leadership in imaging for healthcare applications.

Best Publications

  • Radar-Based Breast Cancer Detection Using a Hemispherical Antenna Array—Experimental Results

    M. Klemm;I.J. Craddock;J.A. Leendertz;A. Preece

  • Bridging e-Health and the Internet of Things: The SPHERE Project

    Ni Zhu;Tom Diethe;Massimo Camplani;Lili Tao

  • Microwave Radar-Based Differential Breast Cancer Imaging: Imaging in Homogeneous Breast Phantoms and Low Contrast Scenarios

    Maciej Klemm;Jack A Leendertz;David Gibbins;Ian J Craddock

  • Microwave Radar-Based Breast Cancer Detection: Imaging in Inhomogeneous Breast Phantoms

    M. Klemm;J.A. Leendertz;D. Gibbins;I.J. Craddock

  • A Comparison of a Wide-Slot and a Stacked Patch Antenna for the Purpose of Breast Cancer Detection

    D. Gibbins;M. Klemm;I.J. Craddock;J.A. Leendertz

  • MARIA M4: clinical evaluation of a prototype ultrawideband radar scanner for breast cancer detection

    Alan W Preece;Ian J Craddock;Michael H Shere;Lyn I L Jones

  • 2015 9th European Conference on Antennas and Propagation (EuCAP 2015)

    Raquel Conceicao;Dallan B Byrne;Navid Ghavami;Penny Probert Smith

  • A Flexible 2.45-GHz Power Harvesting Wristband With Net System Output From −24.3 dBm of RF Power

    Salah-Eddine Adami;Plamen Proynov;Geoffrey S. Hilton;Guang Yang

  • Improved Delay-and-Sum Beamforming Algorithm for Breast Cancer Detection

    Maciej Klemm;Ian J Craddock;JA Leendertz;AW Preece

  • Experimental and clinical results of breast cancer detection using UWB microwave radar

    M. Klemm;I. Craddock;J. Leendertz;A. Preece

  • A Comprehensive Study of Activity Recognition using Accelerometers

    Niall Twomey;Tom Diethe;Xenofon Fafoutis;Atis Elsts

  • Wideband microstrip patch antenna design for breast cancer tumour detection

    R Nilavalan;Ian J Craddock;AW Preece;JA Leendertz

  • Numerical investigation of breast tumour detection using multi-static radar

    R Nilavalan;A Gbedemah;Ian J Craddock;X Li

  • Clinical trials of a UWB imaging radar for breast cancer

    M. Klemm;I. J. Craddock;J. A. Leendertz;A. Preece

  • N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding

    Ryan McConville;Raul Santos-Rodriguez;Robert J Piechocki;Ian Craddock

  • Time-Domain Wideband Adaptive Beamforming for Radar Breast Imaging

    Dallan Byrne;Ian J. Craddock

  • Clinical trials of a multistatic UWB radar for breast imaging

    T. Henriksson;M. Klemm;D. Gibbins;J. Leendertz

  • Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson’s Disease in the Home or a Home-like Environment

    Catherine Morgan;Catherine Morgan;Michal Rolinski;Michal Rolinski;Roisin McNaney;Bennet Jones

  • A multi-modal sensor infrastructure for healthcare in a residential environment

    Przemyslaw Woznowski;Xenofon Fafoutis;Terence Song;Sion Hannuna

  • A comparative study of pose representation and dynamics modelling for online motion quality assessment

    Lili Tao;Adeline Paiement;Dima Damen;Majid Mirmehdi

  • An Ultra Low Power Personalizable Wrist Worn ECG Monitor Integrated With IoT Infrastructure

    Christopher Beach;Sammy Krachunov;James Pope;Xenofon Fafoutis

  • SPHERE: A sensor platform for healthcare in a residential environment

    Pete R Woznowski;Alison B Burrows;Tom Diethe;Xenofon Fafoutis

Frequent Co-Authors

Robert J. Piechocki
Robert J. Piechocki University of Bristol
Siyuan Yu
Siyuan Yu Sun Yat-sen University
John Rarity
John Rarity University of Bristol
Majid Mirmehdi
Majid Mirmehdi University of Bristol
Dima Damen
Dima Damen University of Bristol
Peter A. Flach
Peter A. Flach University of Bristol
Ian H. White
Ian H. White University of Bath
Richard V. Penty
Richard V. Penty University of Cambridge
Karl Woodbridge
Karl Woodbridge University College London
Lynn Rochester
Lynn Rochester Newcastle University

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